ASUS System Product Name
Geekbench AI Score
4794
Single Precision Score
954
Half Precision Score
5888
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BossRreynolds |
| Upload Date | August 26 2024 05:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2556
475.4 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
99% |
4625
862.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
3541
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10606
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
34918
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3218
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (Q)
|
88% |
2700
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (HP)
|
100% |
396
4.71 IPS |
|
|
Face Detection (Q)
|
97% |
6164
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10509
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1176
9.06 IPS |
|
|
Depth Estimation (Q)
|
76% |
13370
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23818
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12390
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33969
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2415
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5906
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
2050
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
836
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
649
868.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3027
67.5 IPS |
